1

Credit Risk Data Science Jobs in Munster, IN (NOW HIRING)

Environmental Credit Risk Associate Bring your expertise to JPMorganChase. As part of Risk ... Bachelor's degree or equivalent education in environmental sciences or related fields, and may hold ...

Master's degree, or foreign equivalent, in Computer Science, Data Science, Statistics, Engineering ... Special Skill Requirements:1. Experience in developing credit risk models and collection strategies ...

Showing results 21-40

Credit Risk Data Science information

See Munster, IN salary details

$36.1K

$111.1K

$192.7K

How much do credit risk data science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for credit risk data science in Munster, IN is $111,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $137,100.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What job categories do people searching Credit Risk Data Science jobs in Munster, IN look for?

The top searched job categories for Credit Risk Data Science jobs in Munster, IN are:

Infographic showing various Credit Risk Data Science job openings in Munster, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,136 per year, or $53.4 per hour.

Data Scientist - Model Governance

Chicago, IL

Transunion
IT Services • 5 - 10K employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


TransUnion rating

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

hackajob is collaborating with TransUnion to connect them with exceptional professionals for this role.

TransUnion's Job Applicant Privacy Notice

Personal Information We Collect

Your Privacy Choices

Team Overview

The Financial Services Analytics team develops credit risk management and business intelligence solutions through client consulting engagements and research. The team operates in a collaborative, innovation-focused environment using modern big data, cloud computing, statistical, and machine learning technologies and reports to VP of Data Science and Analytics.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview and Core Responsibilities

  • Support the creation and maintenance of model risk management policies, procedures, standards, and guidance that reinforce the organization’s model risk management framework.
  • Collect, review, organize, and maintain model documentation provided by model developers in preparation for independent validation.
  • Respond to model documentation requests from clients, regulators, and internal auditors while balancing transparency requirements with the protection of TransUnion’s intellectual property.
  • Partner with model developers, Legal, Compliance, and other stakeholders to streamline model governance processes and create standardized templates and documentation language.
  • Maintain the enterprise model inventory and recommend and implement enhancements to improve its accuracy, usability, and governance.
  • Develop and manage the annual model validation plan, track validation activities, and support timely completion of scheduled validations.
  • Create, maintain, and present model risk management training materials to model developers and other key stakeholders.
  • Design and write programs for data extraction, segmentation, and statistical analysis of large population datasets using R, Python, SQL, Hive, and Spark across server-based and cloud computing environments.
  • Support the development of credit risk management and business intelligence analytical solutions through consulting engagements and research for TransUnion clients.

Required Knowledge and Experiences

  • Bachelor’s degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
  • At least four years of professional analytical experience within financial services, consumer credit, or a related industry, including experience solving complex business and risk-related problems using data.
  • Strong analytical, critical-thinking, and creative problem-solving skills with the ability to interpret information, identify risks, and develop practical solutions.
  • Strong written and verbal communication skills with the ability to communicate technical and governance-related information to stakeholders at multiple levels within and outside the organization.
  • Strong project management skills with the ability to independently manage multiple assignments, priorities, documentation requests, and validation activities.

Required Technical Skills

  • Advanced programming skills with proficiency in a statistical programming language such as R.
  • Experience using SQL (Structured Query Language) for data extraction, manipulation, segmentation, and analysis of large datasets.
  • Experience developing analytical programs using data manipulation and programming technologies such as Python, Hive, Pig, or similar tools.
  • Ability to perform statistical analysis on large population datasets using server-based or cloud computing platforms.
  • High level of proficiency with Microsoft Office tools for documentation, analysis, presentations, project tracking, and stakeholder communication.

We’re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we’re happy to support your career development and growth in:

  • Master’s degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field, along with at least two years of advanced analytical experience in financial services, consumer credit, or a related industry.
  • Familiarity with credit bureau data, consumer credit risk, and credit bureau business practices.
  • Experience with model risk management, model governance, model validation, regulatory documentation, or the interest and capability to develop expertise in model risk governance and controls.
  • Experience serving as a model governance subject matter expert or providing project-based leadership to cross-functional stakeholders.
  • Experience working in a global organization and with modern big data technologies such as Hadoop, Spark, and cloud computing platforms.

Benefits that support every part of your life:

At TransUnion, we design benefits to help you feel well, do well, and plan well—from day one.

For Your Health: Enjoy day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options. Spousal, domestic partner, and other eligible dependent coverage is available on select plans. Choose tax‑advantaged HSA and FSA accounts to make everyday care more affordable.

For Your Protection: We’ve got your back with company‑paid basic life and AD&D, optional voluntary life and AD&D for you and your family, and short‑ and long‑term disability. You can also opt into a legal plan, pet insurance, and travel accident coverage.

For Your Family: From adoption assistance and fertility planning coverage to caregiver support, we’re here for every chapter. Access Dependent Care FSA for possibility of an employer match, a complimentary Care@Work membership, and up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.

For Your Future: Build toward what’s next with our 401(k) with employer match and Employee Stock Purchase Plan (ESPP). Tap financial wellness resources, career coaching, and optional long‑term care insurance to plan confidently.

For You: Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time off for nonexempt employees, up to 12 paid holidays per year, commuter benefits, employee discounts, charitable gift matching, and paid volunteer time off, plus corporate volunteer events that make it easy to give back.

For Your Wellness: Access 24/7 support including professional therapy, coaching, and emotional well‑being programs alongside guided meditation and resources that support physical, mental, social, and financial wellness.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.

Pay Scale Information:

The U.S. base salary range for this position is $78,750.00 - $131,250 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

TransUnion's Internal Job Title:

Consultant, Data Science and Analytics

Company:

TransUnion LLC


What TransUnion employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom